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Forest resources, as the natural resources which the human beings rely on,is one of the most important resource on earth. The index of forest resources is no longer limited to the measurement of forest area, but the single tree information,Which is significant for the further evaluation of biophysical process of the forest ecosystem and biomass estimation . At present, the extraction of single tree information has become a hot topic of forest precision remote sensing. The research of vegetation information extraction which based on LiDAR point cloud data is mostly focused on the extraction of large-scale forest land information,because LiDAR data’s description ability on the edge of Single tree crown is strongly influenced on the stand density, In terms of the phenomenon which research of Single tree information extraction is rare, This paper studied the method of extracting single tree from Lidar Point Cloud. Based on the circle detection, regarded height maximum value as the center, calculated the distance from other points to the center, and extracted the information of single tree’s location, height and DBH by clustering. The lidar point cloud of Changchun city forest were used to do the experiments in this paper, and the aviation image in the same place were used to inspect it in the same time. The test result demonstrates the extraction precision was above 90 percent,which has the better practical value and universality.